Results 341 to 350 of about 4,505,718 (403)
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IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019
This paper focuses on the design of a reduced adaptive fuzzy tracking controller for a class of high-order stochastic nonstrict feedback nonlinear systems with full-state constraints.
Wei Sun, S. Su, Guowei Dong, Weiwei Bai
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This paper focuses on the design of a reduced adaptive fuzzy tracking controller for a class of high-order stochastic nonstrict feedback nonlinear systems with full-state constraints.
Wei Sun, S. Su, Guowei Dong, Weiwei Bai
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IEEE transactions on fuzzy systems, 2020
This paper investigates the sampled-data stabilization problem for a Takagi–Sugeno (T-S) fuzzy system with time delay. By taking the information of states within the intervals from $t_{k}$ to $t$ and $t$ to $t_{k+1}$ into account, a new two-side delay ...
C. Hua, Shuangshuang Wu, X. Guan
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This paper investigates the sampled-data stabilization problem for a Takagi–Sugeno (T-S) fuzzy system with time delay. By taking the information of states within the intervals from $t_{k}$ to $t$ and $t$ to $t_{k+1}$ into account, a new two-side delay ...
C. Hua, Shuangshuang Wu, X. Guan
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Multivariable Structure of Fuzzy Control Systems
IEEE Transactions on Systems, Man, and Cybernetics, 1986Application of fuzzy set theory to the design of control systems has led to interest in the description of multivariable fuzzy systems. The authors present an idea for the solution of multivariable fuzzy equations by decomposition of a multivariable fuzzy system into a set of one- dimensional systems. The authors use the block diagram representation of
Gupta, Madan M. +2 more
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2018
In Chap. 5, we provided detailed discussions about the classical linear control systems or PID control systems with various design methods. One of the most important and critical key requirements to design and implement a PID control system is that the dynamic model of the process or plant is the prerequisite condition .
Ying Bai, Zvi S. Roth
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In Chap. 5, we provided detailed discussions about the classical linear control systems or PID control systems with various design methods. One of the most important and critical key requirements to design and implement a PID control system is that the dynamic model of the process or plant is the prerequisite condition .
Ying Bai, Zvi S. Roth
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Stability analysis of fuzzy control systems
Proceedings of ANZIIS '94 - Australian New Zealnd Intelligent Information Systems Conference, 1996A discrete-time fuzzy control system which is composed of a dynamic fuzzy model and a fuzzy state feedback controller is proposed. Stability of the fuzzy control system is discussed and a sufficient condition to guarantee the stability of the system is given in terms of uncertain linear system theory.
S G, Cao, N W, Rees, G, Feng
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Adaptive fuzzy control systems
Proceedings Electronic Technology Directions to the Year 2000, 2002Computer based process control systems have been used successfully for a number of years. However, these systems are often highly mathematical, are difficult to understand and implement, and are also inflexible. Fuzzy logic was developed in the early to mid 1960s by Lotfi Zadeh as an alternative to these complex traditional computer control schemes ...
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On Fuzzy Control of Chaotic Systems
Journal of Vibration and Control, 2004In this paper, we introduce the control of the strange attractor, chaos. Because of the importance of controlling undesirable behavior in systems. researchers are investigating the use of linear and nonlinear controllers, either to remove such oscillations (in power systems) or to match two chaotic systems (in secure communications). The idea of using
Harb, Ahmad M., Smadi, Issam A.
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IEEE transactions on fuzzy systems, 2019
For a class of large-scale nonlinear systems in nonstrict-feedback structure with immeasurable states, an adaptive decentralized fuzzy control strategy on the basis of event-triggered mechanism is investigated in this paper.
Liang Cao, Hongyi Li, Ning Wang, Qi Zhou
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For a class of large-scale nonlinear systems in nonstrict-feedback structure with immeasurable states, an adaptive decentralized fuzzy control strategy on the basis of event-triggered mechanism is investigated in this paper.
Liang Cao, Hongyi Li, Ning Wang, Qi Zhou
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Fuzzy Control for Networked Control System
Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007Feedback control systems wherein the control loops are closed through a real-time network are called networked control systems (NCS). The insertion of the communication network in the feedback control loop makes the design of controller in NCS complex. In this paper, a fuzzy control method for networked control system is introduced.
Zhi-yi Sun, Chao-Zhen Hou
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Finite-Time Adaptive Fuzzy Control for Nonlinear Systems With Full State Constraints
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019In this paper, an adaptive fuzzy controller is constructed to address the finite-time tracking control problem for a class of strict-feedback nonlinear systems, where the full state constraints are strictly required in the systems.
Jianwei Xia +4 more
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